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The approximate bootstrap confidence algorithm was used to estimate the 95% confidence intervals around the mean cost differences.
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The sample size for the bootstrap confidence intervals was 999.
The bootstrap confidence values were based on 1000 replicates.
All randomization p-values and bootstrap confidence intervals were based on at least 1,000 permutations/bootstraps.
Bootstrap confidence intervals are listed.
Bootstrap confidence intervals are computationally demanding.
90% bootstrap confidence intervals were computed using the percentile method.
ML bootstrap confidence values were based on a 1000 replications.
Bootstrap confidence intervals were based on 1,000 samples.
Bootstrap confidence values were obtained for 1000 replicates.
To compare costs between groups, bootstrap confidence intervals were computed.
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